Keywords

Abstract

In this paper, the symbiotic organisms search (SOS) algorithm, which
is among the most recent meta-heuristic optimization techniques, is
used to determine the optimal solution for the combined economic
and emission dispatch (CEED) problem. In CEED, the target
is to operate committed generators with lowest total operating
cost and lowest total emission level, concurrently, while fulﬁlling
total load demand and losses, and respecting generation limits
and constraints. In this work, the CEED problem is stated as
a multi-objective problem that considers both the operating costs
and emission levels of generating units. The constrained non-
linear optimization problem, which takes valve-point eﬀects into
consideration, is converted into a single-objective problem utilizing
penalty factors in order to be solved using the SOS algorithm. The
proposed algorithm will be applied to three diﬀerent test systems
whose results using other powerful algorithms have been reported
in literature. To prove the usefulness of the proposed technique,
results of the three test systems will be compared with those of
other algorithms. Results conﬁrm that the SOS is more competent
than other algorithms and attains better near-global solutions under
diﬀerent scenarios.